Crane Pose Estimation Using UWB Real-Time Location System

被引:84
|
作者
Zhang, C. [1 ,2 ]
Hammad, A. [1 ]
Rodriguez, S. [1 ]
机构
[1] Concordia Univ, Concordia Inst Informat Syst Engn, Montreal, PQ H4B 1R6, Canada
[2] Xian Jiaotong Liverpool Univ, Dept Civil Engn, Suzhou 215123, Jiangsu, Peoples R China
关键词
Cranes; Pose estimation; Real-time location system; Ultra wideband;
D O I
10.1061/(ASCE)CP.1943-5487.0000172
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Operating a crane is a complex job, which requires not only the experience of the operator, but also sufficient and appropriate real-time support to conceive and react to the environment. To help the crane operator, crane pose estimation is necessary to predict potential collisions. Environment perception technologies are essential to update environment information. Location data of the components of the cranes should be used to calculate the pose of the crane that can be used for collision avoidance. This paper aims to investigate how to collect and efficiently process the location data in near real time using ultra wideband (UWB) technology for providing intelligent support to crane operators. First, the requirements of using UWB technology in construction sites to track crane movements are defined. Then, the details of the UWB system setting method are investigated to decide the location of sensors and the number and location of tags attached to different components of a crane. A location data processing method is proposed to improve data quality by filtering noisy data and filling in missing data in near real time. An outdoor test is presented to demonstrate the feasibility of applying the proposed approach. Location data of a crane boom are collected and processed in near real time. The results of the test show a good potential to calculate the poses of crane booms using UWB real-time location system (RTLS). DOI: 10.1061/(ASCE)CP.1943-5487.0000172. (C) 2012 American Society of Civil Engineers.
引用
收藏
页码:625 / 637
页数:13
相关论文
共 50 条
  • [31] Real-time camera pose estimation for sports fields
    Citraro, Leonardo
    Marquez-Neila, Pablo
    Savare, Stefano
    Jayaram, Vivek
    Dubout, Charles
    Renaut, Felix
    Hasfura, Andres
    Ben Shitrit, Horesh
    Fua, Pascal
    MACHINE VISION AND APPLICATIONS, 2020, 31 (03)
  • [32] Real-Time Head Pose Estimation on Mobile Devices
    Cheng, Zhengxin
    Bai, Fangyu
    COMPUTER VISION - ACCV 2016 WORKSHOPS, PT I, 2017, 10116 : 599 - 609
  • [33] Real-time camera pose and focal length estimation
    Jain, Sumit
    Neumann, Ulrich
    18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2006, : 551 - +
  • [34] Real-Time Pose Estimation Piggybacked on Object Detection
    Juranek, Roman
    Herout, Adam
    Dubska, Marketa
    Zemcik, Pavel
    2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2015, : 2381 - 2389
  • [35] Tensorpose: Real-time pose estimation for interactive applications
    Schirmer Silva, Luiz Jose
    Soares da Silva, Djalma Lucio
    Raposo, Alberto Barbosa
    Velho, Luiz
    Vieira Lopes, Helio Cortes
    COMPUTERS & GRAPHICS-UK, 2019, 85 : 1 - 14
  • [36] Real-time Kinematic Doppler Pose Estimation for IMES
    Sakamoto, Yoshihiro
    Ebinuma, Takuji
    Fujii, Kenjiro
    Sugano, Shigeki
    2013 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM): MECHATRONICS FOR HUMAN WELLBEING, 2013, : 1300 - 1305
  • [37] Robust Real-Time Extreme Head Pose Estimation
    Tulyakov, Sergey
    Vieriu, Radu-Laurentiu
    Semeniuta, Stanislau
    Sebe, Nicu
    2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 2263 - 2268
  • [38] Real-time geometrical tracking and pose estimation using laser triangulation and photogrammetry
    Blais, F
    Beraldin, JA
    El-Hakim, SF
    Cournoyer, L
    THIRD INTERNATIONAL CONFERENCE ON 3-D DIGITAL IMAGING AND MODELING, PROCEEDINGS, 2001, : 205 - 212
  • [39] Real-time pose estimation for outdoor mobile robots using range data
    Ming, Y
    Bin, D
    Hong, W
    Bo, Z
    16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS, 2002, : 593 - 596
  • [40] USING STEREO VISION FOR REAL-TIME HEAD-POSE AND GAZE ESTIMATION
    Cudalbu, C.
    Anastasiu, B.
    Grecu, H.
    Buzuloiu, V.
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2006, 68 (02): : 15 - 26